![]() What the command presented here does is compute cluster solutions for 10 to 3 clusters and store the grouping of cases for each solution. If you have just accomplished the first step, the second command will build immediately on it. Now, the second command does the actual clustering. See the Stata help for details about the available keywords. But many other measures are available which can be requested via option measure(keyword). What about dissimilarity measures? There is a default measure for each of the methods in the case of the Ward method, it's the squared Euclidian distance. Waveragelinkage stands for weighted average linkage. Other methods are available the keywords are largely self-explaining for those who know cluster analysis: the interesting thing is cluster, which requires a cluster analysis according to the Ward method (minimizing within-cluster variation). Now, a few words about the first two command lines. Finally, the third command produces a tree diagram or dendrogram, starting with 10 clusters. In the first step, Stata will compute a few statistics that are required for analysis. Anyway, if you have to do it, here you'll see how.Ĭluster ward var17 var18 var20 var24 var25 var30 Perhaps there are some ados available of which I'm not aware. I'm afraid I cannot really recommend Stata's cluster analysis module. Multiple Imputation: Analysis and Pooling Steps.Confidence Intervals with ci and centile.Changing the Look of Lines, Symbols etc.
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